Comparing the nutritional composition of foods and beverages in the Canadian Nutrient File to a large representative database of Canadian prepackaged foods and beverages.
<h4>Background</h4>Nutrient information used to code dietary intakes in the Canadian Community Health Survey (CCHS) may not be reflective of the current Canadian food supply and could result in inaccurate evaluations of nutrient exposures.<h4>Objective</h4>To compare the nutr...
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Format: | Article |
Language: | English |
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Public Library of Science (PLoS)
2023-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0280028 |
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author | Jodi T Bernstein Anthea K Christoforou Nadia Flexner Mary R L'Abbe |
author_facet | Jodi T Bernstein Anthea K Christoforou Nadia Flexner Mary R L'Abbe |
author_sort | Jodi T Bernstein |
collection | DOAJ |
description | <h4>Background</h4>Nutrient information used to code dietary intakes in the Canadian Community Health Survey (CCHS) may not be reflective of the current Canadian food supply and could result in inaccurate evaluations of nutrient exposures.<h4>Objective</h4>To compare the nutritional compositions of foods in the CCHS 2015 Food and Ingredient Details (FID) file (n = 2,785) to a large representative Canadian database of branded food and beverage products (Food Label Information Program, FLIP) collected in 2017 (n = 20,625).<h4>Method</h4>Food products in the FLIP database were matched to equivalent generic foods from the FID file to create new aggregate food profiles based on FLIP nutrient data. Mann Whitney U tests were used to compare nutrient compositions between the FID and FLIP food profiles.<h4>Results</h4>In most food categories and nutrients there were no statistically significant differences between the FLIP and FID food profiles. Nutrients with the largest differences included: saturated fats (n = 9 of 21 categories), fiber (n = 7), cholesterol (n = 6), and total fats (n = 4). The meats and alternatives category had the most nutrients with significant differences.<h4>Conclusion</h4>These results can be used to prioritize future updates and collections of food composition databases, while also providing insights for interpreting CCHS 2015 nutrient intakes. |
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format | Article |
id | doaj.art-d655aeca759c42fc94afa395135ced2f |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-04-09T18:08:22Z |
publishDate | 2023-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
spelling | doaj.art-d655aeca759c42fc94afa395135ced2f2023-04-14T05:31:27ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01183e028002810.1371/journal.pone.0280028Comparing the nutritional composition of foods and beverages in the Canadian Nutrient File to a large representative database of Canadian prepackaged foods and beverages.Jodi T BernsteinAnthea K ChristoforouNadia FlexnerMary R L'Abbe<h4>Background</h4>Nutrient information used to code dietary intakes in the Canadian Community Health Survey (CCHS) may not be reflective of the current Canadian food supply and could result in inaccurate evaluations of nutrient exposures.<h4>Objective</h4>To compare the nutritional compositions of foods in the CCHS 2015 Food and Ingredient Details (FID) file (n = 2,785) to a large representative Canadian database of branded food and beverage products (Food Label Information Program, FLIP) collected in 2017 (n = 20,625).<h4>Method</h4>Food products in the FLIP database were matched to equivalent generic foods from the FID file to create new aggregate food profiles based on FLIP nutrient data. Mann Whitney U tests were used to compare nutrient compositions between the FID and FLIP food profiles.<h4>Results</h4>In most food categories and nutrients there were no statistically significant differences between the FLIP and FID food profiles. Nutrients with the largest differences included: saturated fats (n = 9 of 21 categories), fiber (n = 7), cholesterol (n = 6), and total fats (n = 4). The meats and alternatives category had the most nutrients with significant differences.<h4>Conclusion</h4>These results can be used to prioritize future updates and collections of food composition databases, while also providing insights for interpreting CCHS 2015 nutrient intakes.https://doi.org/10.1371/journal.pone.0280028 |
spellingShingle | Jodi T Bernstein Anthea K Christoforou Nadia Flexner Mary R L'Abbe Comparing the nutritional composition of foods and beverages in the Canadian Nutrient File to a large representative database of Canadian prepackaged foods and beverages. PLoS ONE |
title | Comparing the nutritional composition of foods and beverages in the Canadian Nutrient File to a large representative database of Canadian prepackaged foods and beverages. |
title_full | Comparing the nutritional composition of foods and beverages in the Canadian Nutrient File to a large representative database of Canadian prepackaged foods and beverages. |
title_fullStr | Comparing the nutritional composition of foods and beverages in the Canadian Nutrient File to a large representative database of Canadian prepackaged foods and beverages. |
title_full_unstemmed | Comparing the nutritional composition of foods and beverages in the Canadian Nutrient File to a large representative database of Canadian prepackaged foods and beverages. |
title_short | Comparing the nutritional composition of foods and beverages in the Canadian Nutrient File to a large representative database of Canadian prepackaged foods and beverages. |
title_sort | comparing the nutritional composition of foods and beverages in the canadian nutrient file to a large representative database of canadian prepackaged foods and beverages |
url | https://doi.org/10.1371/journal.pone.0280028 |
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